--- library_name: transformers license: apache-2.0 base_model: AnonymousCS/populism_english_bert_base_cased tags: - generated_from_trainer metrics: - accuracy model-index: - name: populism_classifier_300 results: [] --- # populism_classifier_300 This model is a fine-tuned version of [AnonymousCS/populism_english_bert_base_cased](https://huggingface.co/AnonymousCS/populism_english_bert_base_cased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.2118 - Accuracy: 0.9803 - 1-f1: 0.6723 - 1-recall: 0.7018 - 1-precision: 0.6452 - Balanced Acc: 0.8451 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 1e-05 - train_batch_size: 128 - eval_batch_size: 128 - seed: 42 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 20 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| | 0.5731 | 1.0 | 62 | 0.3068 | 0.9782 | 0.5981 | 0.5614 | 0.64 | 0.7760 | | 0.1506 | 2.0 | 124 | 0.1601 | 0.9641 | 0.5697 | 0.8246 | 0.4352 | 0.8964 | | 0.0665 | 3.0 | 186 | 0.1641 | 0.9494 | 0.5098 | 0.9123 | 0.3537 | 0.9314 | | 0.1786 | 4.0 | 248 | 0.2118 | 0.9803 | 0.6723 | 0.7018 | 0.6452 | 0.8451 | ### Framework versions - Transformers 4.46.3 - Pytorch 2.4.1+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3